Senior System Software Engineer - Media and Broadcasting

NVIDIA·Pune, Maharashtra, India·posted 85d ago · last seen 1h ago

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About interviewing at NVIDIA

Recruiter screen, a technical screen mixing resume deep-dive with live coding, a hiring-manager conversation, then a panel of three to five 45–60 minute rounds: coding, systems design under hardware constraints, a domain deep-dive, and behavioral. Highly team-specific — you interview directly with the team — with C++ depth expected almost universally and decisions sometimes taking five-plus weeks after the panel.

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Description

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.

We are looking for a hardworking, extraordinary Sr. Software Engineer for the GPU Software team to develop platforms and software for Media & Entertainment and Broadcasting industry. The successful engineer needs to have domain expertise in the areas of media technologies used by TV studios, Broadcasters and content creators. Your passion and expertise in networking, computer hardware, storage, and cloud-native software will be pivotal. You should have a confirmed understanding of Networking and container orchestration engines. The ability to work in a dynamic, diverse and remote team is required. Strong interpersonal skills and a real passion for working as a team are essential. The candidate must demonstrate autonomy in their work and collaboration across different departments. Your role will involve working at the forefront of technical innovation at NVIDIA, in a very fast paced and dynamic environment with some of the best in the industry. If this sounds like a fun challenge, we want to hear from you!

What you will be doing:

  • Develop automation for deploying Kubernetes clusters for streaming media usecases

  • Monitor and manage Kubernetes clusters

  • Configure L3 switches for multi-VLAN routing

  • Working in a Continuous Deployment environment - fast development/deployment cycles.

  • Collaborate with other NVIDIA R&D teams around the globe.

What we need to see:

  • BE/Masters in Computer Science or related fields or equivalent experience

  • 8-10 years hands-on experience in development & networking

  • Deep Knowledge of Networking protocols

  • Proven track record to develop robust tools and automation using programming languages such as Python and/or Go.

  • Proficiency with Docker containerization and Kubernetes orchestration platforms

  • Fast and self learner with outstanding technical skills.

  • Great teammate with strong communication and interpersonal skills

Ways to stand out from the crowd:

  • Experience in CNI plugins, operator framework

  • Experience with network protocols

  • Experience in switch configuration: Cisco/Arista/Cumulus

  • Knowledge in Linux shell scripting

  • Knowledge of Ansible and Python

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